Triple
T14687780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Khingan Range |
E344957
|
entity |
| Predicate | nameInChinese |
P4878
|
FINISHED |
| Object | 大兴安岭 |
E344957
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 大兴安岭 | Statement: [Greater Khingan Range, nameInChinese, 大兴安岭]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大兴安岭 Context triple: [Greater Khingan Range, nameInChinese, 大兴安岭]
-
A.
长白山
长白山是一座位于中朝边界、以火山天池和丰富自然资源闻名的著名高山与风景名胜区。
-
B.
白山
白山は、東京都文京区に位置する住宅街と商業施設が混在した落ち着いた街並みのエリアです。
-
C.
Greater Khingan Range
chosen
The Greater Khingan Range is a volcanic mountain range in northeastern China known for its extensive forests, rich biodiversity, and role as a major watershed and climatic barrier in East Asia.
-
D.
Yan Mountains
The Yan Mountains are a major mountain range in northern China that form a natural barrier between the North China Plain and the Mongolian Plateau.
-
E.
Datun Mountain range
The Datun Mountain range is a volcanic mountain system in northern Taiwan known for its peaks, hot springs, and panoramic views over Taipei and the surrounding region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde1876fdc81908a4fe3deebb7ff83 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.